Market Research Behaviour Engine

Research market behaviour from canonical data.

FlowLens brings market data, research nodes, deterministic reports, and historical analysis into one research-focused interface.

Research foundation available Current research profile: XAUUSD

Market Data

Canonical research datasets

Explorer next

FlowLens separates authoritative tick data from derived aggregation bars so research can operate on explicit instruments, sources and timeframes.

Current research instrumentXAUUSD
Research timeframeH1
ArchitectureTick → Bars

Dataset coverage and inventory will be exposed through the dedicated Data surface.

Research Node

Session Analytics

Available

Session Analytics is the first canonical MRBE research node, with versioned metadata, research campaigns, statistical analysis and frontend-neutral reports.

Node
session
Version
1.0
Profile
XAUUSD Research v1

Research

Deterministic research reports

Catalogue next

Research results are composed into a stable frontend-facing report contract with dataset identity, query summaries, temporal statistics, metrics and behaviours.

Versioned schemaDeterministic serializationFrontend-neutral results

Recent Research

History surface coming next

Not yet connected
Research history is not exposed through the frontend yet. The dedicated History surface will present retained campaigns and reports once its canonical read boundary is implemented.

Market Exploration

Explore FlowLens

DataDataset Explorer

Coverage, instruments and aggregated market data.

Planned 4.0E
ChartsMarket Visualisation

Interactive charts for market and research exploration.

Planned 4.0G
ResearchResearch Catalogue

Research nodes, queries, reports and analytical results.

Planned 4.0F
HistoryResearch History

Retained campaigns, reports and historical evidence.

Planned 4.0G

Modules

Additional FlowLens applications

FlowLens Module

US Federal Contract Flow

Explore listed-company federal contract recipients and sector-level spending flow using the existing FlowLens contracting dataset.

Open module →